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The relationship between university performance and performance-based funding models has been a topic of debate for decades. Promoting performance-based funding models can create incentives for improving the educational and research effectiveness of universities, and consequently providing them with a competitive advantage over its competitors. Therefore, this paper studies how to measure the performance of a university through a mathematical multicriteria analysis and tries to link these results with certain university funding policies existing in the Spanish case. To this end, a reference point-based technique is used, which allows the consideration and aggregation of all the aspects regarded as relevant to assess university performance. The simple and easy way in which the information is provided by this technique makes it valuable for decision makers because of considering two aggregation scenarios: the fully compensatory scenario provides an idea of the overall performance, while the non-compensatory one detects possible improvement areas. This study is carried out in two stages. First, the main results of applying the proposed methodology to the performance analysis evolution of the largest three Spanish public university, over a period of five academic years, are described. Second, a discussion is carried out about some interesting features of the analysis proposed at regional level, and some policy messages are provided. The “intra” regions university performance analysis reveals some institutions with noteworthy behaviors, some with sustained trends throughout the analyzed period and other institutions with more erratic behaviors, within the same regional public university system despite having the identical funding model. However, the findings “inter” regions also reveal that only Catalonia has developed a true performance-based model, in theory and in practice, which has contributed to achieving excellent results at regional level in both teaching and research.

Composite indicators are powerful tools for summarizing, focusing and condensing the complexity of our dynamic environment, and their use has become indispensable for managing huge amounts of information. An important aspect to emphasize when constructing composite indicators is the compensatory character among the individual indicators. In general, a fully compensatory scheme provides an overall assessment of the performance of each unit, while a non-compensatory scheme detects the worst single performances. When used in a decision making framework, the joint consideration of both schemes may, therefore, be helpful. Nevertheless, in the literature, few approaches allow the construction of composite indicators for different compensation degrees. On these premises, the aim of this paper is to illustrate the behavior of some methodologies that build composite indicators allowing different compensation degrees. We analyze the results provided by each of these methods and which of them provide a more varied complementary information when considering both compensatory and non-compensatory scenarios. An illustrative example is used to visualize the results.

In our knowledge society, where universities are key players, the assessment of higher education institutions should meet the new demands of the present complex environment. This calls for the use of techniques that are able to manage this complexity. In this paper, we propose a novel combination of methodologies, jointly using a multi-criteria reference point scheme and the data envelopment analysis (DEA) for the assessment of universities. This combination allows us to take into account all the aspects regarded as relevant to assess university performance, and use them as outputs in the efficiency analysis. Our findings highlight the convenience to assess the university performance by using both compensatory and non-compensatory schemes. This way, the information provided allows to detect the actions needed to improve the performances of the universities, rather than just giving an overall performance measure. Furthermore, combining the use of composite indicators with the DEA analysis provides a more complete picture of the institutions assessed, allowing universities to check their efficiency and to detect their weaknesses and strengths accordingly. The approach is illustrated using data of 47 Spanish public universities for the academic year, 2016–2017.

La eco-innovación es un concepto que enfatiza el desarrollo sostenible y su medición es imprescindible para el desempeño económico y sostenible de las organizaciones. Por otro lado, el cálculo de indicadores compuestos para evaluar el progreso en diferentes ámbitos es muy útil, considerando que los tomadores de decisiones requieren de herramientas eficaces para soportar sus estrategias. En este sentido, el presente artículo propone la medición de la eco-innovación en los sitios que conforman el Clúster México-Colombia del grupo Saint-Gobain, aplicando la metodología de indicadores basados en múltiples puntos de referencia. Los principales hallazgos sugieren que la dimensión de entradas y actividades integradas a los recursos, proveen información relevante para la toma de decisiones de las partes interesadas. Se sugiere extender las líneas de investigación aplicando la misma metodología en otras empresas del grupo Saint-Gobain, así como en otras compañías.

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